Jacob Köhler
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 8
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- Scientific Computing and Data Management 4
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 9
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 5
- Genomics and Phylogenetic Studies 3
- Gene Regulatory Network Analysis 2
- Health Information Management top 10%
- Information Systems top 5%
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- Advanced Database Systems and Queries 2
- Co-authors
- Stephan PhilippiBarry SmithCornelius RosseWerner CeustersChris MungallJane LomaxAnand KumarFabian Neuhaus
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Jacob Köhler
16 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 626
- Information Systems and Management 101
- Molecular Biology 957
- Health Information Management 27
- Information Systems 112
Countries citing papers authored by Jacob Köhler
This map shows the geographic impact of Jacob Köhler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jacob Köhler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Köhler more than expected).
Fields of papers citing papers by Jacob Köhler
This network shows the impact of papers produced by Jacob Köhler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jacob Köhler. The network helps show where Jacob Köhler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacob Köhler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 3 | |
| 2 | 2007 | 12 | |
| 3 | 2006 | 39 | |
| 4 | 2006 | 1 | |
| 5 | 2006 | 61 | |
| 6 | 2006 | 139 | |
| 7 | 2006 | 62 | |
| 8 | Relations in biomedical ontologiesbreakdown → | 2005 | 653 |
| 9 | 2005 | 37 | |
| 10 | 2004 | 22 | |
| 11 | 2004 | 15 | |
| 12 | Proceedings of DILS 2004 (Data Integration in the Life Sciences), (Lecture Notes in Bioinformatics 2994) | 2004 | 2 |
| 13 | 2003 | 67 | |
| 14 | The biology Petri net markup language. | 2002 | 5 |
| 15 | 2002 | 8 | |
| 16 | The semantic metadatabase (SEMEDA): ontology based integration of federated molecular biological data sources. | 2002 | 2 |
About Jacob Köhler
Jacob Köhler is a scholar working on Information Systems and Management, Artificial Intelligence and Molecular Biology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Semantic Web and Ontologies (8 papers), Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (5 papers), Scientific Computing and Data Management (4 papers), Genomics and Phylogenetic Studies (3 papers), Advanced Database Systems and Queries (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (626 citations), Information Systems and Management (101 citations) and Molecular Biology (957 citations). Jacob Köhler has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Stephan Philippi, Barry Smith, Cornelius Rosse, Werner Ceusters, Chris Mungall, Jane Lomax, Anand Kumar, Fabian Neuhaus, Bert R. E. Klagges and Alan Rector. Their work appears in journals such as Bioinformatics, Nature Reviews Genetics and Genome biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.